Dhanya Sridhar

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About

Dhanya Sridhar is a rising researcher at the intersection of gynecologic surgery and artificial intelligence, with a primary focus on reproductive health and minimally invasive surgical outcomes. Her most cited work, "Ovarian Loss in Laparoscopic and Robotic Cystectomy Compared Using Artificial Intelligence Pathology" (2024, 5 citations), represents a pioneering contribution to the field by employing AI-powered pathology software to objectively quantify ovarian tissue and follicular loss during endometrioma cystectomy. This study directly compares laparoscopic and robotic approaches, offering critical insights into ovarian preservation—a key concern for fertility-sparing surgery. By integrating computational pathology into surgical evaluation, Sridhar’s work advances evidence-based decision-making in endometriosis management. Her research demonstrates how AI can enhance precision in assessing surgical damage, bridging gaps in traditional histological analysis. Though early in her career, Sridhar’s innovative methodology and focus on measurable outcomes position her as a promising voice in reproductive surgery. Her contributions highlight the potential of interdisciplinary approaches to improve patient care and surgical standards.